Ontology highlight
ABSTRACT:
SUBMITTER: Su C
PROVIDER: S-EPMC10415381 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature
Su Chang C Xu Zichun Z Shan Xinning X Cai Biao B Zhao Hongyu H Zhang Jingfei J
Nature communications 20230810 1
The advancement of single cell RNA-sequencing (scRNA-seq) technology has enabled the direct inference of co-expressions in specific cell types, facilitating our understanding of cell-type-specific biological functions. For this task, the high sequencing depth variations and measurement errors in scRNA-seq data present two significant challenges, and they have not been adequately addressed by existing methods. We propose a statistical approach, CS-CORE, for estimating and testing cell-type-specif ...[more]